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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2024年第3期86卷 67-80页

作者： Colbu, Ștefania-Cristiana Băncilă, Daniel-Marian Petrescuniță, Alina Popescu, Dumitru Olteanu, Severus-Constantin Dept. of Automatic Control and Systems Engineering National University of Science and Technology POLITEHNICA Bucharest Romania Dept. of Mathematical Methods and Models National University of Science and Technology POLITEHNICA Bucharest Romania

The present paper introduces a comparative analysis of the management of a stochastic optimization problem using both a risk deterministic approach and a support vector machine strategy. This optimization problem is formulated in consideration of the influence produced by environmental factors, such as irradiance and temperature, on a photovoltaic panel. The problem will be solved by applying both methods to determine the Maximum Power Point (MPP), thereby to enhance the power generation efficiency. The primary objective is to conduct an analysis comparing the two approaches, with the aim of recommending the most suitable approach for Maximum Power Point Tracking (MPPT). © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： machine learning photovoltaics risk optimization support vector machine for regression

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BIOPHYSICAL SIGNAL PROCESSING FOR automatic ANXIETY CLASSIFICATION IN A VIRTUAL REALITY EXPOSURE THERAPY SYSTEM

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2024年第2期86卷 73-84页

作者： Jinga, Nicolae Petrescu, Cătălin-Dumitru Mitruț, Oana Moldoveanu, Alin Moldoveanu, Florica Petrescu, Livia Dept. of Computer Science National University of Science and Technology POLITEHNICA Bucharest Romania Dept. of Automatic Control and Systems Engineering National University of Science and Technology POLITEHNICA Bucharest Romania Faculty of Biology University of Bucharest Romania

This paper presents a signal processing framework for automatic anxiety level classification in a virtual reality exposure therapy system. Two types of biophysical data (heart rate and electrodermal activity) were recorded, pre-processed and passed through a feature extraction procedure that provided input for the real-time anxiety level classification algorithm. We showcase the mathematical and engineering techniques behind the procedures and conclude with the challenges encountered in our research and future development ideas. The proposed method provides a good estimate of the level of anxiety while having at the same time a reduced level of complexity, allowing implementation on equipment with limited computing resources. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Classification (of information)

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Methods for Developing Effective Models of Biomedical Processes in MATLAB 17

Methods for Developing Effective Models of Biomedical Proces...

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17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer engineering, TCSET 2024

作者： Kolisnyk, Kostyantyn Kolisnyk, Viktoriia Wik, Torsten National Technical University 'Kharkiv Polytechnic Institute' Dept. Industrial and Biomedical Electronics Kharkov Ukraine Kharkiv National University of Radio Electronics Dept. Media Engineering and Information Radioelectronic Systems Kharkiv Ukraine Institutionen for elektroteknik Chalmers tekniska hogskola Dept. Systems and Control Technology Electrical Technology Gothenburg Sweden

ISBN: (纸本)9798331520564

Mathematical modeling in the study of dynamic processes in biomedicine is currently widely used. The use of mathematical statistics and formal logic methods in the analysis of complex biomedical processes is especially important for increasing the efficiency of biomedical research. Taking into account the established growth of the technical base of research, the development of new technologies and technical means for obtaining and processing statistical biomedical information, the use of mathematical modeling methods is a fairly promising direction in scientific and practical work. In this paper the authors studies the possibility of improving the quality of biomedical process modeling using the MATLAB software environment. The research was carried out on real statistical material obtained by the authors during a full-scale experiment to study the impact of a complex of external factors on patients. The results obtained in this work can be used in the implementation of scientific and applied research of biomedical processes. © 2024 IEEE.

关键词： MATLAB

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Fail-Safe Decision Architecture for Positioning Failures on Automated Vehicles 9

Fail-Safe Decision Architecture for Positioning Failures on ...

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9th IEEE Smart World Congress, SWC 2023

作者： Rodriguez-Arozamena, Mario Aranguren-Mendieta, Inigo Perez, Joshue Zubizarreta, Asier Tecnalia Basque Research and Technology Alliance Bilbao Derio Spain Basque Research and Technology Alliance Industry and Mobility Unit Tecnalia Derio Spain Dept. of Automatic Control and Systems Engineering Bilbao Spain

ISBN: (纸本)9798350319804

Precise localization is essential for the operation of Connected and Automated Vehicles (CAVs) in urban scenarios. Camera and LiDAR-based solutions are currently used in some of the CAVs around the world, but they entail an expensive performance in terms of computational time and economic cost. Due to this, Global Navigation Satellite System (GNSS) based solutions remains the preferred solution for positioning Automated Vehicles in different Operational Design Domains (ODDs). Although several improvements in system reliability have been made recently, in case of positioning failures most of the architectures rely on system redundancy or automation disengagements to achieve minimal risk conditions. This paper presents a fail-safe decision architecture for mitigating positioning failures of automated vehicles in urban scenarios. The proposed architecture utilizes a combination of sensor fusion localization and decision-making modules to ensure the safe and efficient operation of the vehicle in the event of a positioning failure. The proposed approach is evaluated through simulation in a representative urban scenario and is shown to effectively handle positioning failures, improving the localization accuracy provided by each information source. © 2023 IEEE.

关键词： automated driving fail-safe operation fallback strategy positioning failure safe state

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OBJECT DETECTION AND LANE CHANGING FOR SELF DRIVING CAR USING CNN

OBJECT DETECTION AND LANE CHANGING FOR SELF DRIVING CAR USIN...

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2022 International Conference on Communication, Computing and Internet of Things, IC3IoT 2022

作者： Saranya, M. Archana, N. Reshma, J. Sangeetha, S. Varalakshmi, M. Psg College of Technology Dept. of Instrumentation & Control Systems Engineering Coimbatore India Psg College of Technology Dept. of Electrical & Electronics Engineering Coimbatore India

ISBN: (纸本)9781665479950

In recent years, many companies are working on the development of autonomous cars. Every citizen on the planet is concerned about their safety. In the framework of Advanced Driver Assistance systems, one of the main goals is to improve safety and reduce road accidents, ultimately saving lives. One of the most difficult jobs in an autonomous driving system is detecting road lanes or road boundaries. Lane and object detection may be a crucial component of collision prevention in driving assistance systems. With the growth in traffic, there is a demand for more security and comfort when driving, it impose the development of new technology. Computer vision is one of the ways that may be utilized to assist the driver in difficult scenarios in order to improve his safety and comfort. The initial layer of autonomous vehicles' capabilities is lane tracking. Many sensors, including as lasers, radar, and vision sensors, are commonly employed for obstacle and lane detection. Computer vision is one of the primary method for detecting road limits and lanes using a vehicle's vision system. The technology uses a camera installed on the vehicle to capture the front view, then uses a few algorithms to detect lanes and objects. The lanes and objects are detected using a flexible algorithm. This paper focuses on a computer vision-based object detection technique by using CNN algorithm. © 2022 IEEE.

关键词： Object detection

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Compensation's Method of Collector Load's Parasitic Components in SiGe and SOI Cascode Amplifiers Operating at High Temperatures

Compensation's Method of Collector Load's Parasitic Componen...

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2024 International Conference on Electrical engineering and Photonics, EExPolytech 2024

作者： Bugakova, Anna V. Frolov, Ilya V. Ivanov, Yuri I. Dmitrienko, Nadezhda A. Don State Technical University Dept. Scientific Research Dept. Information Systems and Radio Engineering Rostov-on-Don Russia Ulyanovsk Branch of the Kotelnikov Institute of Radioengineering and Elecronics of Russian Academy of Science Lab. Solid-State Electronics Opto- and Nanoelectronics Ulyanovsk Russia Southern Federal University Dept. Automatic Control Systems Rostov-on-Don Russia Dstu in Shakhty Dept. Foreign Languages Shakhty Russia

ISBN: (纸本)9798350388879

This paper considers the circuit method for neutralizing the effect of parasitic components of the collector load in silicon-germanium (SiGe) and silicon-on-insulator (SOI) classical cascade amplifiers and common-base stages on their voltage gain (Gain). The article demonstrates that the incorporation of a dedicated compensating circuit into the original circuits enables the enhancement of their upper frequency limit or gain by a factor of 5 to 10. The conditions for mitigating the impact of resistor parasites, which contribute to losses in planar inductance, on the Q-factor of the RLC-circuit of the selective amplifier are established. It is recommended that the proposed circuit solutions be employed in practical applications involving SiGe and SOI analog chips operating at elevated temperatures. © 2024 IEEE.

关键词： Cascode amplifiers

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Features of Space Vector Pulse Width Modulation in 5-phases Cascaded High Voltage Converters 5

Features of Space Vector Pulse Width Modulation in 5-phases ...

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5th IEEE KhPI Week on Advanced technology, KhPIWeek 2024

作者： Busher, Victor Chornyi, Oleksii Tytiuk, Valerii Glazeva, Oksana Kuznetsov, Vitaliy Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Kryvyi Rih National University Kryvyi Rih Ukraine Dept. of the electrical engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350384499

The purpose of this work is to analyze the capabilities of space-vector pulse-width modulation when controlling a 5-phase high-voltage cascade frequency converter in normal mode and several types of emergency situations. Taking into account the large number of controlled power transistors, an asynchronous modulation method is proposed, based on calculating the amplitude values of individual phases at each time based on the duty cycle of space vectors, which allows the control system to use independent switching in each phase. In emergency modes, when individual H-bridges are damaged, it is proposed to use the balanced space vectors method, which ensures the symmetry of the electromagnetic field in the event of a short circuit of both individual cascades and one or two phases of the inverter. Methodology. We use a mathematical and geometric interpretation of variable amplitude space vectors when projecting voltages onto a symmetrical 5-phase load. Results. Analysis of the 1st harmonic of phase voltages showed that the use of the space vector modulation method in the normal operating mode of a 5-phase converter makes it possible to increase the utilization factor of DC voltage sources by 23.1% (instead of 15.6% for a 3-phase converter). If individual H-bridges fail and the voltages in the load phases are balanced, the utilization factor may decrease, but in any case it will remain greater than 1. In this case, the higher harmonics, despite significant distortions in the shape of the phase voltages, are mutually compensated in the electromagnetic field of the load, as evidenced by absence of pulsations and shocks on the graphs of transient processes of the electromagnetic torque of the engine. Balancing of the electromagnetic field in the load is maintained even if one or two phases of the inverter are short-circuited. This significantly increases the survivability of the electric drive, which is especially important in critical mechanisms and technological processes,

关键词： Electric motors

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SB-AGT: A stochastic beam search-enhanced attention-based Gumbel tree framework for drug-drug interaction extraction from biomedical literature

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Computers in Biology and Medicine 2025年 189卷 110011-110011页

作者： Saad, Eman Kishk, Sherif Ali-Eldin, Amr Saleh, Ahmed I. Communication and Information Technology Center Mansoura University Egypt Electronics and Communication Engineering Dept. Mansoura University Egypt Computer Engineering & Control Systems Dept. Mansoura University Egypt

Drug-Drug Interactions (DDI) and Chemical-Protein Interactions (CPI) detection are crucial for patient safety, as unidentified interactions may lead to severe Adverse Drug Reactions (ADRs). While extensive DDI and CPI information exists within biomedical literature, manual extraction by experts proves time-intensive and resource-demanding. This study presents SB-AGT: Stochastic Beam Search-enhanced Attention-based Gumbel Tree an innovative approach to automated DDI and CPI extraction through an attention-based architecture incorporating a modified Gumbel-Tree method with stochastic beam search optimization. SB-AGT leverages multi-head attention mechanisms and enhanced latent tree structures to effectively capture complex syntactic features and drug relationship patterns. Also, the methodology includes comprehensive preprocessing protocols and addresses dataset imbalance through hybrid sampling techniques. Experimental validation on the DDIExtraction 2013 and CHEMPROT datasets demonstrates the model's effectiveness, achieving precision, surpassing traditional approaches and showing competitive performance compared to contemporary pre-trained models. Through parametric analysis, we establish optimal beam search configurations that maximize the model's extraction accuracy. © 2025 Elsevier Ltd

关键词： Stochastic models

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Data-driven modeling of heat pumps and thermal storage units for MPC

Data-driven modeling of heat pumps and thermal storage units...

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2023 International Conference on the Built Environment in Transition, CISBAT 2023

作者： Brandes, M. Cai, H. Vivian, J. Croci, L. Heer, P. Smith, R. Urban Energy Systems Laboratory Empa Dübendorf Switzerland Dept. of Industrial Engineering University of Padova Padua Italy Dept. of Power System Development Ricerca Sistema Energetico SpA Milan Italy Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Switzerland

Heat pumps can play a crucial role in the European energy strategy 2050, which aims to achieve net-zero greenhouse gas emissions. When coupled with thermal energy storage and integrated with advanced control strategies, heat pump operation can be optimized to reduce carbon footprint and respond to the needs of system operators. However, to scale in a multitude of buildings, the transferability of the modeling into heterogeneous systems is crucial. In this paper, two different interpretable linear models, a hybrid (grey-box) and a fully data-driven (black-box) model are investigated. Specifically, two regression-based identification methods (SINDYc and DMDc) are used for dynamic models and the LASSO regression is used for static models. The transferability of the approach is evaluated using two real-world facilities with heterogeneous sizing and configuration. The results show a similar simulation performance for both cases with a maximum normalized RMSE of 0.41 and 0.60, respectively. This confirms the transferability of the approach that is necessary for large-scale implementation. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Carbon footprint

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Mobile Application for Visualizing the Measurements 5

Mobile Application for Visualizing the Measurements

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Kiresova, Simona Guzan, Milan Sobota, Branislav Melnykov, Viacheslav Yatsiuk, Rostyslav Peryvertailo, Bohdan Technical University of Košice Dept. of Theoretical and Industrial Electrical Engineering Košice Slovakia Technical University of Košice Dept. of Computers and Informatics Košice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine National University Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi Kremenchuk Ukraine

ISBN: (纸本)9798350359787

This paper deals with the design of an Android mobile application and visualization of the measured values of particulate matter and meteorological factors from the measurement stations. The application can in principle be effectively used in any field of data visualization. The architecture of the mobile application, the security, the use of AWS services to access the data in the InfluxDB databases, as well as the user interface and graphical visualizations of the measured data are described and illustrated. The application is user tested and the paper documents their first experiences using the mobile application. © 2023 IEEE.

关键词： Visualization

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